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Https://dblp.org/rec/journals/tits/LiDLWW23
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https://dblp.org/rec/journals/tits/LiDLWW23
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https://dblp.org/rdf/schema#documentPage https://doi.org/10.1109/TITS.2023.3253919 +
https://dblp.org/rdf/schema#doi https://doi.org/10.1109/TITS.2023.3253919 + , http://dx.doi.org/10.1109/TITS.2023.3253919 +
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https://dblp.org/rdf/schema#monthOfPublication --06
https://dblp.org/rdf/schema#numberOfCreators 5
https://dblp.org/rdf/schema#pagination 5958-5970
https://dblp.org/rdf/schema#primaryDocumentPage https://doi.org/10.1109/TITS.2023.3253919 +
https://dblp.org/rdf/schema#publishedIn IEEE Trans. Intell. Transp. Syst.
https://dblp.org/rdf/schema#publishedInJournal IEEE Trans. Intell. Transp. Syst.
https://dblp.org/rdf/schema#publishedInJournalVolume 24
https://dblp.org/rdf/schema#publishedInJournalVolumeIssue 6
https://dblp.org/rdf/schema#title A Novel Framework to Generate Synthetic Video for Foreground Detection in Highway Surveillance Scenarios.
https://dblp.org/rdf/schema#yearOfPublication 2023
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rdfs:label Xuan Li et al.: A Novel Framework to Generate Synthetic Video for Foreground Detection in Highway Surveillance Scenarios. (2023)
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